Senior Solution Engineer, Acquisition

We are looking for a Senior Solution Engineer to join our Enterprise Acquisition team in Brisbane. You will solve complex problems and be instrumental in our strategic pursuits. You'll work with sales and channel partners from first discovery through proof of concept to signed business.

Responsibilities

Present Snowflake's AI Data Cloud vision to executives and technical teams at retail and telco prospects, showing the value of Snowflake Cortex AI, Snowpark and Snowflake Horizon; Work hands-on through the whole sales cycle: tailored demos, enterprise proofs of concept, solution design and implementation planning; Work with Account Executives and channel partners to plan and win competitive deals with new customers; Dig deep into customer architectures and map them to Snowflake's data architecture, including open lakehouse patterns with Apache Iceberg tables; Build retail and telco use cases such as customer 360, demand forecasting, personalisation, churn prediction, and data collaboration through Snowflake Marketplace and secure data sharing; Stay current on competing and complementary technologies and position Snowflake clearly against them; Work with Product Management, Engineering and Marketing to keep improving Snowflake's products and messaging

Requirements

10+ years of relevant industry experience, ideally in pre-sales or solution engineering; Proven experience with Retail or Telecommunications organisations, including their data, business drivers and stakeholders; Excellent presentation skills with technical and executive audiences, whether on a whiteboard or in a demo; Ability to build and own senior C-suite relationships; Broad experience with large-scale database and data warehouse technology, ETL, analytics and cloud platforms, including Data Lake, Data Mesh and Data Fabric patterns; Hands-on SQL, SQL analytics and Python skills; Ability to connect a customer's specific business problems to Snowflake's solutions; A university degree in computer science, engineering, mathematics or a related field, or equivalent experience

Nice to have

Experience with global systems integrators (GSIs) such as EY, Deloitte or Accenture; Familiarity with retail data (POS, loyalty, supply chain, ecommerce) or telco data (OSS/BSS, network telemetry, subscriber analytics); Hands-on experience building generative AI or ML solutions; A Masters in Data Science or Business Administration